{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TMY data and diffuse irradiance models\n",
    "\n",
    "This tutorial explores using TMY data as inputs to different plane of array diffuse irradiance models.\n",
    "\n",
    "This tutorial requires pvlib > 0.6.0.\n",
    "\n",
    "Authors:\n",
    "* Rob Andrews (@Calama-Consulting), Heliolytics, June 2014\n",
    "* Will Holmgren (@wholmgren), University of Arizona, July 2015, March 2016, August 2018"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See the ``tmy_to_power`` tutorial for more detailed explanations for the initial setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# built-in python modules\n",
    "import os\n",
    "import inspect\n",
    "\n",
    "# scientific python add-ons\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# plotting stuff\n",
    "# first line makes the plots appear in the notebook\n",
    "%matplotlib inline \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# finally, we import the pvlib library\n",
    "import pvlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find the absolute file path to your pvlib installation\n",
    "pvlib_abspath = os.path.dirname(os.path.abspath(inspect.getfile(pvlib)))\n",
    "\n",
    "# absolute path to a data file\n",
    "datapath = os.path.join(pvlib_abspath, 'data', '703165TY.csv')\n",
    "\n",
    "# read tmy data with year values coerced to a single year\n",
    "tmy_data, meta = pvlib.iotools.read_tmy3(datapath, coerce_year=2015)\n",
    "tmy_data.index.name = 'Time'\n",
    "\n",
    "# TMY data seems to be given as hourly data with time stamp at the end\n",
    "# shift the index 30 Minutes back for calculation of sun positions\n",
    "tmy_data = tmy_data.shift(freq='-30Min')['2015']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmy_data.GHI.plot()\n",
    "plt.ylabel('Irradiance (W/m**2)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmy_data.DHI.plot()\n",
    "plt.ylabel('Irradiance (W/m**2)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Location: \n",
      "  name: SAND POINT\n",
      "  latitude: 55.317\n",
      "  longitude: -160.517\n",
      "  altitude: 7.0\n",
      "  tz: US/Alaska\n"
     ]
    }
   ],
   "source": [
    "surface_tilt = 30\n",
    "surface_azimuth = 180 # pvlib uses 0=North, 90=East, 180=South, 270=West convention\n",
    "albedo = 0.2\n",
    "\n",
    "# create pvlib Location object based on meta data\n",
    "sand_point = pvlib.location.Location(meta['latitude'], meta['longitude'], tz='US/Alaska', \n",
    "                                     altitude=meta['altitude'], name=meta['Name'].replace('\"',''))\n",
    "print(sand_point)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "solpos = pvlib.solarposition.get_solarposition(tmy_data.index, sand_point.latitude, sand_point.longitude)\n",
    "\n",
    "solpos.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the extraradiation function returns a simple numpy array\n",
    "# instead of a nice pandas series. We will change this\n",
    "# in a future version\n",
    "dni_extra = pvlib.irradiance.get_extra_radiation(tmy_data.index)\n",
    "dni_extra = pd.Series(dni_extra, index=tmy_data.index)\n",
    "\n",
    "dni_extra.plot()\n",
    "plt.ylabel('Extra terrestrial radiation (W/m**2)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "airmass = pvlib.atmosphere.get_relative_airmass(solpos['apparent_zenith'])\n",
    "\n",
    "airmass.plot()\n",
    "plt.ylabel('Airmass');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Diffuse irradiance models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make an empty pandas DataFrame for the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "diffuse_irrad = pd.DataFrame(index=tmy_data.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "models = ['Perez', 'Hay-Davies', 'Isotropic', 'King', 'Klucher', 'Reindl']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Perez"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "diffuse_irrad['Perez'] = pvlib.irradiance.perez(surface_tilt,\n",
    "                               surface_azimuth,\n",
    "                               dhi=tmy_data.DHI,\n",
    "                               dni=tmy_data.DNI,\n",
    "                               dni_extra=dni_extra,\n",
    "                               solar_zenith=solpos.apparent_zenith,\n",
    "                               solar_azimuth=solpos.azimuth,\n",
    "                               airmass=airmass)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### HayDavies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "diffuse_irrad['Hay-Davies'] = pvlib.irradiance.haydavies(surface_tilt,\n",
    "                               surface_azimuth,\n",
    "                               dhi=tmy_data.DHI,\n",
    "                               dni=tmy_data.DNI,\n",
    "                               dni_extra=dni_extra,\n",
    "                               solar_zenith=solpos.apparent_zenith,\n",
    "                               solar_azimuth=solpos.azimuth)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Isotropic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "diffuse_irrad['Isotropic'] = pvlib.irradiance.isotropic(surface_tilt,\n",
    "                               dhi=tmy_data.DHI)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### King Diffuse model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "diffuse_irrad['King'] = pvlib.irradiance.king(surface_tilt,\n",
    "                               dhi=tmy_data.DHI,\n",
    "                               ghi=tmy_data.GHI,\n",
    "                               solar_zenith=solpos.apparent_zenith)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Klucher Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "diffuse_irrad['Klucher'] = pvlib.irradiance.klucher(surface_tilt, surface_azimuth,\n",
    "                                                    dhi=tmy_data.DHI,\n",
    "                                                    ghi=tmy_data.GHI,\n",
    "                                                    solar_zenith=solpos.apparent_zenith,\n",
    "                                                    solar_azimuth=solpos.azimuth)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reindl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "diffuse_irrad['Reindl'] = pvlib.irradiance.reindl(surface_tilt,\n",
    "                               surface_azimuth,\n",
    "                               dhi=tmy_data.DHI,\n",
    "                               dni=tmy_data.DNI,\n",
    "                               ghi=tmy_data.GHI,\n",
    "                               dni_extra=dni_extra,\n",
    "                               solar_zenith=solpos.apparent_zenith,\n",
    "                               solar_azimuth=solpos.azimuth)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate yearly, monthly, daily sums."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "yearly = diffuse_irrad.resample('A').sum().dropna().squeeze() / 1000.0  # kWh\n",
    "monthly = diffuse_irrad.resample('M', kind='period').sum() / 1000.0\n",
    "daily = diffuse_irrad.resample('D').sum() / 1000.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = diffuse_irrad.plot(title='In-plane diffuse irradiance', alpha=.75, lw=1)\n",
    "ax.set_ylim(0, 800)\n",
    "ylabel = ax.set_ylabel('Diffuse Irradiance [W]')\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Perez</th>\n",
       "      <th>Hay-Davies</th>\n",
       "      <th>Isotropic</th>\n",
       "      <th>King</th>\n",
       "      <th>Klucher</th>\n",
       "      <th>Reindl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>4578.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>55.398143</td>\n",
       "      <td>52.457636</td>\n",
       "      <td>49.094681</td>\n",
       "      <td>53.067042</td>\n",
       "      <td>53.610788</td>\n",
       "      <td>100.774025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>80.439197</td>\n",
       "      <td>75.436304</td>\n",
       "      <td>72.134083</td>\n",
       "      <td>76.340191</td>\n",
       "      <td>78.795999</td>\n",
       "      <td>78.355679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>39.151044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.732051</td>\n",
       "      <td>4.114161</td>\n",
       "      <td>3.732051</td>\n",
       "      <td>4.009573</td>\n",
       "      <td>3.732051</td>\n",
       "      <td>87.163898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>95.389001</td>\n",
       "      <td>91.217201</td>\n",
       "      <td>81.172105</td>\n",
       "      <td>91.749845</td>\n",
       "      <td>90.879727</td>\n",
       "      <td>145.523600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>580.694617</td>\n",
       "      <td>533.102519</td>\n",
       "      <td>523.420126</td>\n",
       "      <td>538.809780</td>\n",
       "      <td>544.508380</td>\n",
       "      <td>535.970735</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Perez   Hay-Davies    Isotropic         King      Klucher  \\\n",
       "count  8760.000000  8760.000000  8760.000000  8760.000000  8760.000000   \n",
       "mean     55.398143    52.457636    49.094681    53.067042    53.610788   \n",
       "std      80.439197    75.436304    72.134083    76.340191    78.795999   \n",
       "min       0.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "25%       0.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "50%       3.732051     4.114161     3.732051     4.009573     3.732051   \n",
       "75%      95.389001    91.217201    81.172105    91.749845    90.879727   \n",
       "max     580.694617   533.102519   523.420126   538.809780   544.508380   \n",
       "\n",
       "            Reindl  \n",
       "count  4578.000000  \n",
       "mean    100.774025  \n",
       "std      78.355679  \n",
       "min       0.000000  \n",
       "25%      39.151044  \n",
       "50%      87.163898  \n",
       "75%     145.523600  \n",
       "max     535.970735  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diffuse_irrad.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "diffuse_irrad.dropna().plot(kind='density');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Daily"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax_daily = daily.tz_convert('UTC').plot(title='Daily diffuse irradiation')\n",
    "ylabel = ax_daily.set_ylabel('Irradiation [kWh]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Monthly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax_monthly = monthly.plot(title='Monthly average diffuse irradiation', kind='bar')\n",
    "ylabel = ax_monthly.set_ylabel('Irradiation [kWh]')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yearly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "yearly.plot(kind='barh');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute the mean deviation from measured for each model and display as a function of the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean_yearly = yearly.mean()\n",
    "yearly_mean_deviation = (yearly - mean_yearly) / yearly * 100.0\n",
    "yearly_mean_deviation.plot(kind='bar');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
